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Record W3116006561

Factores asociados al envejecimiento cerebral patológico en adultos mayores (AM). Centro de atención de enfermería (CAE). Universidad de Guayaquil (UG)

2020· article· es· W3116006561 on OpenAlexaboutno aff
Martha Yolanda Morocho Mazón, Guillermo Fernando León Samaniego, Luisa Espinoza Villagómez, Víctor Miguel Sinchi Mazón

Bibliographic record

VenueRECIMUNDO: Revista Científica de la Investigación y el Conocimiento · 2020
Typearticle
Languagees
FieldMedicine
TopicAging, Health, and Disability
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGerontologyElderly peoplePolitical scienceMedicineArt
DOInot available

Abstract

fetched live from OpenAlex

espanolEl envejecimiento cerebral patologico en el adulto mayor, tambien conocido como deterioro cognitivo, actualmente es un tema de particular interes para la comunidad cientifica dado al grupo poblacional que se halla inmerso en el fenomeno en cuestion por su aumento demografico con importantes consecuencias sobre la salud publica secundario al impacto eco-nomico, politico y social que esto implica; en tal razon mediante este estudio se determina los factores asociados a este fenomeno en el adulto mayor que acuden al Centro de Atencion de Enfermeria(CAE) de la Universidad de Guayaquil(UG). Mediante investigacion cuantitativa, transversal, prospectiva, correlacional, en una muestra de 40 adultos mayores, por muestreo no probabilistico se aplica el Test Montreal Cognitivec (MoCa), de Kats, Lawton y Brody, del estado socioecono-mico de Bronfman y de variables demograficas. Los resultados obtenidos indican que el envejecimiento cerebral patologi-co del adulto mayor se relaciona de forma significativa con algunos factores demograficos, socioeconomicos, funcionales e instrumentales de la vida diaria; algunos de ellos modificables, la instruccion, ocupacion, acompanamiento, ingresos economicos y otros, a partir de cuyo tratamiento temprano puede ser una forma de prevenir su recurrencia y mejorar el pronostico del envejecimiento patologico en la arista neurologica del adulto mayor. EnglishPathological brain aging in the elderly, also known as cognitive impairment, is currently a topic of particular interest to the scientific community given the population group that is immersed in the phenomenon in question due to its demographic increase with important consequences on public health. secondary to the economic, political and social impact that this implies; for this reason, by means of this study, the factors associated with this phenomenon in the elderly are determined, who attend the Nursing Care Center (CAE) of the University of Guayaquil (UG). By means of quantitative, cross-sectional, prospective, correlational research, the Montreal Cognitivec Test (MoCa), by Kats, Lawton and Brody, on the socioeconom-ic status of Bronfman and demographic variables, is applied to a sample of 40 older adults by non-probability sampling. The results obtained indicate that pathological brain aging in the elderly is significantly related to some demographic, so-cioeconomic, functional and instrumental factors of daily life; some of them modifiable, instruction, occupation, accompa-niment, income, and others, from which early treatment can be a way to prevent its recurrence and improve the prognosis of pathological aging in the neurological edge of the elderly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.317
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
Has abstractyes

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